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Adeel-Intizar / Xtreme-Vision

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
MIT License
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Error occurred when finalizing GeneratorDataset iterator: Failed precondition: Python interpreter state is not initialized. #7

Closed zaheerbeg21 closed 3 years ago

zaheerbeg21 commented 3 years ago

I install xtreme-vision pip install --no-dependencies xtreme-vision it shows version - xtreme_vision - 1.5.1

On colab it runs with only - pip install Xtreme-Vision python version as - Python 3.6.9 (default, Apr 18 2020, 01:56:04) [GCC 8.4.0] on linux

but on linux server it does not OS. Version as - No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 18.04.3 LTS Release: 18.04 Codename: bionic

I installed all this packages on public ip separately -

tensorflow - 2.3.0-dev20200522 keras - 2.4.3 PIL - 8.0.1 cv2 - 4.5.1-pre matplotlib - 3.3.3 numpy - 1.18.4 pandas - 1.1.5 sklearn - 0.23.1 imgaug - 0.4.0 labelme2coco - 0.1.2 progressbar - 2.3dev scipy - 1.4.1 h5py - 2.10.0 matplotlib - 3.3.3 skimage - 0.17.2 after running train_yolov4.py after 45 mis shows Error as - >

Errors may have originated from an input operation. Input Source operations connected to node gradient_tape/YOLOv4/CSPDarknet53/csp_res_net_1/yolo_conv 2d_16/sequential_18/mish_16/Sigmoid: YOLOv4/CSPDarknet53/csp_res_net_1/yolo_conv2d_16/sequential_18/batch_normalization_16/FusedBatchNo rmV3 (defined at /Xtreme-Vision/xtreme_vision/Detection/yolov4/model/common.py:92)

Function call stack: train_function

2020-12-11 00:32:53.589305: W tensorflow/core/kernels/data/generator_dataset_op.cc:103] Error occurred when finalizing GeneratorDataset iterator: Failed precondition: Python interpreter state is not initialized. The process may be terminated. [[{{node PyFunc}}]]

Kindly guide please...

Adeel-Intizar commented 3 years ago

This package has only been tested on windows currently, but if you install it properly it should work. Try uninstalling it and all the dependencies as well, and then type the following command, it will automatically download all the dependencies, you don't have to install them by yourself because it may unstable the package.

try to install it simply with

!pip install xtreme-vision or !pip install -q xtreme-vision (in case if you don't want to show the output of installation process)

zaheerbeg21 commented 3 years ago

can we use it with tensorflow 2. 1.o ? what should i change to run it on tensorflow 2. 1, please suggest something brother I want to run it on watson machine learning community edition container which has built in tensorflow 2. 1

On Sun, Dec 13, 2020 at 1:07 AM Adeel notifications@github.com wrote:

This package has only been tested on windows currently, but if you install it properly it should work. Try uninstalling it and all the dependencies as well, and then type the following command, it will automatically download all the dependencies, you don't have to install them by yourself because it may unstable the package.

try to install it simply with

!pip install xtreme-vision or !pip install -q xtreme-vision (in case if you don't want to show the output of installation process)

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/Adeel-Intizar/Xtreme-Vision/issues/7#issuecomment-743805431, or unsubscribe https://github.com/notifications/unsubscribe-auth/APQSSHXJQKILTXDJOZT7RG3SUPBBBANCNFSM4UWOJSFA .

Adeel-Intizar commented 3 years ago

it can be used on any tensorflow version until it is above 2.0 but there might be some unstability

Adeel-Intizar commented 3 years ago

but tensorflow 2.3 is recommended